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Scene Flow Estimation on Waymo Open Dataset (val)

0.0138EPE (3-way) Mean (m)ΔFlow (UniFlow, Ours)
0.0075120.0499560.09240.134844Nov 23, 2025Dec 8, 2025Dec 23, 2025Jan 7, 2026Jan 22, 2026Feb 6, 2026Feb 22, 2026

Evaluation results

MethodLinks
ΔFlow (UniFlow, Ours)Supervision Level=Supervised2025.110.0138——————————0.1880.0650.4030.0960.03070.00610.0046
ΔFlowSupervision Level=Supervised2025.110.014——————————0.1980.0730.4070.1140.03270.00580.0035
Flow4D-XL (UniFlow, Ours)Supervision Level=Supervised2025.110.016——————————0.1910.0640.40.110.03830.00680.003
Flow4DSupervision Level=Supervised2025.110.0182——————————0.2150.0740.4230.1460.04580.00610.0028
SSF (UniFlow, Ours)Supervision Level=Supervised2025.110.0185——————————0.2340.0750.4340.1950.04740.00580.0022
SSFSupervision Level=Supervised2025.110.0219——————————0.2640.0970.4690.2250.05620.00740.0023
TeFlow#F=5, Runtime per seq=14s, Method category=Feed-forward2026.020.0348——————————0.2750.1570.4690.1980.08610.00970.0086
SeFlow++#F=3, Runtime per seq=16s, Method category=Feed-forward2026.020.0363——————————0.3230.2010.5210.2470.0930.00870.0071
SeFlow++Supervision Level=Unsupervised2025.110.0363——————————0.2320.2010.5210.2470.0930.00870.0071
VoteFlow#F=2, Runtime per seq=13.5s, Method category=Feed-forward2026.020.0389——————————0.3470.1970.5480.2980.09650.01120.0088
SeFlow#F=2, Runtime per seq=12s, Method category=Feed-forward2026.020.0429——————————0.3510.2120.5510.2890.10490.01390.01
DeFlowSupervision Level=Supervised2025.110.0446——————————————0.0980.02590.0098
ICP-Flow#F=2, Runtime per seq=11m, Method category=Optimization-based2026.020.085——————————0.3280.3050.4850.1950.20810.02140.0257
SeFlowSupervision Level=Unsupervised2025.110.085——————————0.3280.3050.4850.1850.20810.02140.0257
ZeroFlow#F=2, Runtime per seq=11.5s, Method category=Feed-forward2026.020.0864——————————0.770.4440.9820.8840.2240.01570.0196
ZeroFlowSupervision Level=Unsupervised2025.110.0864——————————0.770.4440.9820.8840.2240.01570.0196
FastNSF#F=2, Runtime per seq=6.7m, Method category=Optimization-based2026.020.0924——————————0.4580.2360.7190.4180.18190.02560.0698
NSFP#F=2, Runtime per seq=96m, Method category=Optimization-based2026.020.1005——————————0.5740.3150.8230.5840.17120.10810.0221
NSFPSupervision Level=Unsupervised2025.110.1005——————————0.5740.3150.8230.5840.17120.10810.0221
Ego Motion Flow#F=-, Runtime per seq=-, Method category=Baseline2026.020.171——————————11110.50850.00460
DeFlowSupervision=supervised, Run Time per frame [ms]=42 ± 4, Real-time (10 Hz) onboard=true2024.07———————0.04460.0980.02590.0098———————
DeFlowLabels=true, Same-domain training=true2025.03————————0.0980.0260.01———————
FastFlow3DSupervision=supervised, Run Time per frame [ms]=27 ± 6, Real-time (10 Hz) onboard=true2024.07———————0.07820.19540.02460.0152———————
FastFlow3DLabels=true, Same-domain training=true2025.03————————0.1950.0250.015———————
FastNSFSupervision=self-supervised, Run Time per frame [ms]=593 ± 308, Real-time (10 Hz) onboard=false2024.07———————0.15790.30120.01460.0403———————
FastNSFLabels=false, Same-domain training=true2025.03————————0.3010.0150.04———————
FESTA2023.05—0.223——76.524.527.2———————————
FH-Net2023.05—0.175——60.335.867.4———————————
FLOTSource Dataset=FT3D2022.03—0.3299————————————————
FLOTSource Dataset=GTA-SF2022.03—0.1081————————————————
FLOTSource Dataset=Waymo2022.03—0.068————————————————
FlowNet3DSource Dataset=FT3D2022.03—0.3546————————————————
FlowNet3DSource Dataset=GTA-SF2022.03—0.1589————————————————
FlowNet3DSource Dataset=Waymo2022.03—0.1067————————————————
FlowNet3D2023.05—0.225——77.92348.6———————————
GMSF2023.05—0.083——43.574.785.1———————————
HPLFlowNetSource Dataset=FT3D2022.03—0.2505————————————————
HPLFlowNetSource Dataset=GTA-SF2022.03—0.1146————————————————
HPLFlowNetSource Dataset=Waymo2022.03—0.0501————————————————
NSFPSupervision=self-supervised, Run Time per frame [ms]=76,163 ± 32,256, Real-time (10 Hz) onboard=false2024.07———————0.10050.17120.10810.0221———————
NSFPLabels=false, Same-domain training=true2025.03————————0.1710.1080.022———————
PointPWC2023.05—0.307——78.610.323.1———————————
PV-RAFTSource Dataset=FT3D2022.03—0.2621————————————————
PV-RAFTSource Dataset=GTA-SF2022.03—0.0585————————————————
PV-RAFTSource Dataset=Waymo2022.03—0.0433————————————————
SeFlowSupervision=self-supervised, Run Time per frame [ms]=42 ± 4, Real-time (10 Hz) onboard=true2024.07———————0.05980.15060.01810.0106———————
SeFlowLabels=false, Same-domain training=true2025.03————————0.1510.0180.011———————
SeFlowLabels=false, Same-domain training=false2025.03————————0.1550.0180.013———————
VoteFlowLabels=false, Same-domain training=true2025.03————————0.1170.0150.016———————
VoteFlowLabels=false, Same-domain training=false2025.03————————0.1420.0140.012———————
ZeroFlowSupervision=self-supervised, Run Time per frame [ms]=27 ± 6, Real-time (10 Hz) onboard=true2024.07———————0.09210.21620.01530.0241———————
ZeroFlowLabels=false, Same-domain training=true2025.03————————0.2160.0150.024———————